Daniel S. Hain
- Management of Technology and Innovation top 5%
- Economics and Econometrics top 10%
- Strategy and Management top 10%
- Accounting top 10%
- Sociology and Political Science
- Co-authors
- Roman JurowetzkiDaojuan WangSofia JohanJesper Lindgaard ChristensenTobias BuchmannPatrick WolfJorma LarimoYuan Zhou
- Topics
- Innovation and Knowledge Management (9 papers)Private Equity and Venture Capital (9 papers)Innovation Diffusion and Forecasting (7 papers)
In The Last Decade
Daniel S. Hain
30 papers receiving 400 citations
Peers
Comparison fields: 5 of 76
- Management of Technology and Innovation 126
- Economics and Econometrics 123
- Strategy and Management 121
- Accounting 116
- Sociology and Political Science 40
Countries citing papers authored by Daniel S. Hain
This map shows the geographic impact of Daniel S. Hain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel S. Hain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Hain more than expected).
Fields of papers citing papers by Daniel S. Hain
This network shows the impact of papers produced by Daniel S. Hain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel S. Hain. The network helps show where Daniel S. Hain may publish in the future.
Co-authorship network of co-authors of Daniel S. Hain
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Hain. A scholar is included among the top collaborators of Daniel S. Hain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel S. Hain. Daniel S. Hain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 9 | |
| 10 | A Vector Worth a Thousand Counts: A Temporal Semantic Similarity Approach to Patent Impact Prediction | 1 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | Entrepreneurial Ecosystem for Technology Start-ups in Nairobi: Empirical analysis of Twitter networks of Start-ups and Support organizations | 6 |
| 15 | The Value of Human Capital Signals for Investment Decision Making under Uncertainty: An analysis of cross-border venture capital investments in Europe and sub-Saharan Africa | 2 |
| 16 | 99 | |
| 17 | 0 | |
| 18 | Scared away? Discouraged borrowers and Capital market information | 2 |
| 19 | Indicators of energy innovation systems and their dynamics: A review of current practice and research in the field | 3 |
| 20 | 2 |
About Daniel S. Hain
Daniel S. Hain is a scholar working on Management of Technology and Innovation, Business and International Management and Accounting, having authored 32 papers that have together received 407 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (9 papers), Private Equity and Venture Capital (9 papers) and Innovation Diffusion and Forecasting (7 papers). The work is most often cited by research in Management of Technology and Innovation (126 citations), Business and International Management (35 citations) and Accounting (116 citations). Daniel S. Hain has collaborated with scholars based in Denmark, Germany and China. Frequent co-authors include Roman Jurowetzki, Daojuan Wang, Sofia Johan, Jesper Lindgaard Christensen, Tobias Buchmann, Patrick Wolf, Jorma Larimo, Yuan Zhou, Sungjoo Lee and Maj Munch Andersen. Their work appears in journals such as Journal of Cleaner Production, Research Policy and Journal of Business Ethics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.